Over the last 2 decades the importance of Andean
glaciers, particularly as water resources, has been recognized in both
scientific literature and the public sphere. This has led to the
inclusion of glaciers in the environmental impact assessment and the
development of glacier protection laws in both Chile and Argentina. However,
these laws are limited in their ability to protect, manage, and monitor
water resources as they do not differentiate between glacier types. We
propose three glacier categories that aim to group glaciers based on their
sensitivity to environmental changes as a framework that could be adopted to
match the level of protection to the current and future needs of society, be
region-specific, and evolve through time. Finally, we review both
national inventories with respect to this classification to facilitate the
evaluation and/or management of water resources.
Introduction
Over the last 2 decades, the role of glaciers in the headwaters of Andean
basins has become increasingly prominent in both scientific literature and
the public sphere from the community level to national public policy.
This interest has been motivated primarily by the increased awareness of
climate change impacts and other environmental considerations
(Herrera
Perez and Segovia, 2019; Jones et al., 2018; Masiokas et al., 2020). This
has led to the development of environmental impact assessment (EIA) measures
specifically designed for glaciated regions and the development of glacier
protection laws (GPLs) that aim to preserve glaciers as strategic water
reserves, for their role in sustaining biodiversity and in sustainable tourism
and for their scientific importance (Gobierno de Argentina,
2010; Senado de Chile, 2019). Both Chile and Argentina have funded the
creation of detailed national inventories (Barcaza
et al., 2017; Zalazar et al., 2020) and detailed glacier monitoring plans
(CECS, 2009; IANIGLA-CONICET, 2019). At a local scale,
there is an acknowledgment by councils and municipalities as well as
community groups that there is a need to better understand the behaviour
and characteristics of glaciers to better manage water supplies. For
example, in Chile this has led to regional governments funding studies of
glacier distribution (García et al., 2017) and
management plans (MacDonell and González, 2019). Andean
glaciers are also landmarks of national heritage and have important cultural
and indigenous significance (Bosson et al., 2019;
National Geographic, 2021). Despite the recognized importance of Andean
glaciers, current (or proposed) EIA protocols and GPLs in Chile and Argentina
are limited in their ability to protect, manage, and monitor these water
resources as they do not differentiate between glacier types. Currently,
many of the requirements in the EIA process (http://www.sea.gob.cl, last access: 5 April 2022)
are the same regardless of glacier type, and variable impacts are not given
adequate consideration. For example, a debris-free glacier would be more
sensitive to air particles such as black carbon from a nearby road than a
debris-covered glacier, but this difference cannot be adequately addressed
within the current EIA. For the EIA as well as when generally considering
the protection, evaluation, and management of glaciers as water resources, it
is important to consider that different glacier types may have distinct
sensitivities. Here we define sensitivity as change in mass balance over a
given period of time in response to environmental changes (e.g. changes in
temperature or precipitation).
Traditionally glaciers have been grouped into three categories: debris-free
glaciers, debris-covered glaciers, and rock glaciers. However, these
categories do not necessarily reflect the sensitivity to environmental
factors (e.g. climate) and are often difficult to implement for practical
applications. The distinction between debris-free and debris-covered
glaciers is relatively well defined in the literature; however in practice,
often a more precise dividing line is needed. Furthermore, the division
between a debris-covered glacier and a rock glacier is often ambiguous. In
some instances glaciers that have a very thin debris cover and some ice
exposed are considered rock glaciers (e.g. Chilean national inventory),
while in other cases a thick enough debris cover to insulate the ice below
is required (⪆ 3 m;
Janke et al., 2015). The difference between these
interpretations is an important consideration since the former option
potentially encompasses glaciers that have a debris cover thin enough to
allow sufficient heat transfer to melt the ice surface below (e.g. ⪅ 0.2 m; Nicholson and Benn, 2006), while the
latter option only includes glaciers that have a thick enough debris cover
to insulate them from changes in temperature at the surface
(Bonnaventure and
Lamoureux, 2013; Janke et al., 2015). In theory these glaciers with a very
thick debris cover are less sensitive and therefore act as longer-term water
reservoirs (Jones et al.,
2018). To ensure an appropriate level of protection, appropriate monitoring program, or appropriate
management strategy is applied, it is useful to evaluate where these
dividing lines should be and why as a first step towards creating
classifications that reflect glacier sensitivity. This is particularly
important when evaluating water resources over decadal or longer timescales.
The classifications also provide a basis for discussion and will likely be
of practical use for legislation and management.
The overarching goal of this paper is to propose an ideal dividing line
(debris thickness) between each glacier category, account for additional
factors that may impact sensitivity (see Sect. 3), and combine these to
classify glaciers in a way that reflects their sensitivity to environmental
changes (e.g. temperature and precipitation). We undertake a thorough
evaluation of the Chilean and Argentinian national inventories to determine
if they align with the proposed groups. Based on this, suggestions are
provided to modify these inventories to facilitate the evaluation and/or
management of water resources associated with the cryosphere in the semiarid
Andes in the first instance.
The appropriate dividing line will vary from north to south along the Andes
given the large variation in climate, topography, and glacier
characteristics (CECS, 2009; Masiokas
et al., 2020). This variability is recognized within the national glacier
strategy for Chile (CECS, 2009), which identifies four
distinct zones for glacier monitoring within which these three factors are
relatively homogeneous. The most northern zone (Zona Norte, 18–32∘ S) has numerous peaks above 5000 m and is arid, resulting in relatively
small glaciers at high altitude. Southwards the precipitation increases, and
the snowline drops in elevation. The central zone (Zona Central,
32–36∘ S) is also characterized by high peaks, but the snowline is
lower, giving rise to larger glaciers that extend from mountain summits to
valley bottoms. In the southern zone (Zona Sur, 36–46∘ S) the
elevation of the Andes Mountains drops, and glaciers are reduced to isolated
volcanic cones. In the most southern zone (Zona Austral, 46–56∘ S)
the elevation of the Andes Mountains increases while the snowline continues
to drop, giving rise to large glaciers and icefields that extend to sea
level. The water supply from mountains compared to the entire basin also
varies from north to south. This “water tower” supply index has been
calculated globally, and in northern Chile it is 0.15, while in southern Chile
where glaciers are much larger it is 0.34
(Immerzeel et al., 2020). We have
chosen to focus the classification on the semiarid Andes (∼ 27–35∘ S), which encompasses the transition between the
most northern and central zones. This area is particularly relevant for
water resource evaluation, legislation, and management given that it is
water-scarce (DGA, 2016), many glaciers are outside of protected
areas (SNASPE for Chile, áreas protegidas for Argentina), and it has a
relatively high population density. For example, in the semiarid Andes of
Chile only ∼ 10 % of the glacier surface area lies within
protected areas, compared to ∼ 89 % south of 35∘ S where there is sufficient water availability (calculations completed using
the 2014 Dirección General de Aguas (DGA) glacier inventory accessible
at https://dga.mop.gob.cl/estudiospublicaciones/mapoteca/Paginas/Mapoteca-Digital.aspx, last access: 5 April 2022).
The classification proposed for the semiarid Andes is meant to serve as an
example upon which classification schemes for other regions could be based.
In the semiarid region the mean annual glacier contribution to streamflow
varies from ∼ 3 %–44 % for most years and can be > 65 % during dry periods
(Ayala et al.,
2016; Schaffer et al., 2019). Rock glaciers are well insulated from the
environment by a thick debris cover, and while their contribution per unit
area to annual streamflow is likely to be less than other glacier types,
they may provide an important contribution at the end of summer (e.g. > 10 %; Schaffer et al.,
2019; Schrott, 1996) and also act as longer-term reservoirs
(Jones et
al., 2018; Schaffer et al., 2019).
Defining debris-covered glaciers and rock glaciers
In general, a glacier is defined as a perennial mass of ice (or perennially
frozen ice and debris in the case of rock glaciers) showing evidence of past
or present flow detectable in the landscape by the presence of front and
lateral margins (Cogley et al., 2011;
RGIK, 2021). A debris-covered glacier has a debris layer
that varies in thickness with ice exposed at the surface due to the
discontinuity of debris cover or thermokarst depressions among other
features (Janke et al., 2015; Monnier and
Kinnard, 2017). Thermokarst is a terrain type characterized by irregular
surfaces including hollows such as ice collapse features. Some
debris-covered glacier definitions require that most of the ablation zone be
covered by debris (Barcaza et al.,
2017; Cogley et al., 2011). Other definitions specify that the glacier may
be fully covered (RGIK, 2021). Rock glaciers
are defined as having a debris cover that is thicker than debris-covered
glaciers and a discernible frontal slope that is generally convex
(RGIK, 2021; Janke et
al., 2015; Monnier and Kinnard, 2017). Some definitions specify that the
debris cover must be thick and continuous enough so that in general no ice
is exposed at the surface (typically several metres thick;
Janke et al., 2015;
Monnier and Kinnard, 2017; Schaffer et al., 2019). Other definitions specify
that debris must cover the entire glacier or differentiate debris-covered
glaciers from rock glaciers by the presence of visible ice on the former,
implying that no ice is visible on rock glaciers (Barcaza et
al., 2017). These definitions for debris-covered and rock glaciers have been
sourced from publications on the Andes to ensure the definitions are
locally relevant.
In summary, debris-covered glaciers are defined in the literature as being
partially to fully covered by debris. Rock glaciers are defined as generally
having no ice visible at the surface. While these definitions are suitable
for scientific investigation, they are not sufficient for water resource
management as they do not effectively differentiate between debris-covered
glaciers that are sensitive to environmental changes (e.g. temperature,
precipitation) compared to those that are not.
Glacier classification for water resource management
If the categories of glacier types are to differentiate between glaciers
that have different sensitivities to changes in the environment (e.g. temperature and precipitation), then debris cover thickness must also be
considered, since this has an important influence on glacier melt patterns
(Ayala et al., 2016;
Burger et al., 2019). Measurements from glaciers in the Himalaya, Canada,
and Sweden have shown that a very thin debris cover (⪅ 2 cm) results in higher melt rates than for debris-free glaciers
due to a reduction in albedo and that under thicker debris cover melt rates
progressively decline (Nicholson and Benn, 2006;
Östrem, 1959). Heat continues to be transferred through the debris,
resulting in surface melt, even when the debris cover is more than a couple
of decimetres thick. For example, on Pirámide Glacier (33.57∘ S, 69.89∘ W) the debris thickness varies from 0.2 to 1 m and in
areas where it is 0.2 to 0.3 m there is sufficient heat transmitted through
the debris layer to result in ice melting at the surface throughout the day
(Ferrando, 2012).
Ayala et al. (2016) estimated
the debris thickness and modelled glacier mass balance on Pirámide
Glacier. From the highest elevations, mass balance becomes more negative as
elevation decreases as would be expected, until ∼ 3800 m a.s.l, below which debris cover thickens, and the mass balance suddenly
becomes less negative and remains constant down-glacier (ca. -1 m w.e. a-1). The debris thickness at 3800 m a.s.l. is heterogeneous with a
range of approximately 0.1–0.5 m thick (modelled debris thickness). Plots of
modelled debris thickness versus mass balance show that on Pirámide
ablation is reduced by 80 % when debris thickness is 30 cm and by 90 % when
it is 60 cm (Álvaro Ayala, personal communication, 7 March 2022). Estimated
debris thicknesses > 0.2 m in this study are under-estimated compared
to in situ measurements and are prone to error, so these results should be
interpreted with caution. This agrees with Rounce et al. (2021), who provide
globally distributed debris thicknesses and sub-debris melt outputs and
conclude that thin debris cover (typically 0.03–0.05 m) enhances
sub-debris melt while thick debris cover can result in a > 90 %
reduction in sub-debris melt. We suggest that a thickness of ⪆ 0.5 m could be used as a threshold between glacier
classifications for the semiarid Andes since surface melt appears to be
strongly reduced by debris cover above this threshold at Pirámide
Glacier. According to Janke et al. (2015) a fully covered glacier (about
95 % of the surface) often has a debris thickness of 0.5–3.0 m.
Therefore, having > 95 % of the surface covered by
debris could be used as a criterion to approximately identify this threshold
using satellite imagery. Global products of glacier debris cover could be
used to quantify the percentage of debris cover to remove subjectivity (e.g. Herreid and Pellicciotti, 2020; Scherler et al., 2018); however outputs have not been validated for the Andes and coverage is
limited to glaciers included in the Randolph Glacier Inventory (RGI). We
propose that this initial classification could be refined or used in
combination with modelled debris thicknesses (e.g. Rounce et al., 2021) but not
replaced by these model outputs since validation in the Andes is needed and
coverage is limited (see Sect. 5).
A thickness ⪆ 3 m is required to thermally
insulate the ice within the glacier and preserve the ice structure (Janke et
al., 2015). For example, at Llano de Las Liebres rock glacier
(30.25∘ S, 69.95∘ W), seasonal variations in temperature affected ground temperatures at between 2 to 5 m depth (Janke et al., 2015).
When the debris cover is thick enough to preserve the ice structure, the
surface is relatively smooth since the degradation of ice leading to the
formation of thermokarst depressions is no longer actively occurring (Janke
et al., 2015).
We suggest three categories for glacier classification for the purpose of
water resource evaluation and/or management within the semiarid Andes
(∼ 27–35∘ S; see Fig. 1 for examples):
Glaciers that are likely sensitive to environmental changes. These glaciers have exposed ice and include debris-free and some debris-covered glaciers (Fig. 1a).
Intermediate glaciers. These are defined as having > 95 % debris coverage and a rough surface due to the discontinuity of debris cover, thermokarst depressions including “fresh” ice collapse features, or other features. We define fresh ice collapse features as depressions with at least one steep side that creates an abrupt change in topography, usually filled with water, ice, or snow (Fig. 1a, b). We assume that the presence of fresh collapse features indicates that the glacier is somewhat sensitive to climate as such thermokarst features may be a sign of degradation at depth in the glacier (Schrott, 1996).
Glaciers that are likely thermally insulated from the environment (Fig. 1c). Based on examples in Janke et al. (2015) and our own observations of more than 100 glaciers in the semiarid Andes of Chile and Argentina with high-resolution satellite imagery (see Supplement – Inventory area reviewed.kmz), we conclude that these glaciers generally have no exposed ice, convex topography, and a discernible frontal slope and that thermokarst depressions are uncommon and generally appear “weathered”. Weathered depressions have sides that appear eroded and do not form an abrupt change in topography (Fig. 1b). These are definitively rock glaciers.
Three glaciers in the semiarid Andes for which the
glacier type (sensitive, intermediate, or insulated) is clearly identifiable
based on the geomorphological criterion presented in this paper are shown.
Tapado Glacier is made up of the three distinct glacier types proposed in
this study. Approximately 95 % of the surface of Pirámide Glacier is
covered by debris, and there are numerous thermokarst depression features, so
it is classified as an intermediate glacier. Dos Lenguas Glacier does not
have ice exposed at the surface, has convex topography accentuated with
ridges and furrows, and has an obvious frontal slope, so it is classified as an
insulated glacier. Image source (Esri basemap): (a) 11 March 2019 GeoEye
(0.46 m), (b) 18 January 2013 WorldView-2 (0.5 m), (c) 17 September 2017
WorldView-2 (0.5 m).
Insulated glaciers (Category 3) may have pronounced ridges and furrows
perpendicular to the direction of flow, while intermediate glaciers
(Category 2) have either no ridges or weakly developed ridges.
Differentiation between intermediate and insulated glaciers could be
improved by using both the qualitative classification proposed and modelled
debris thicknesses, although these model outputs have large uncertainties
(see Sect. 5). Insulated glaciers should not include rock glaciers that no
longer contain ice (relict rock glaciers); however we recognize that such
features may still play a significant role in the local catchment by
enhancing liquid water storage and delaying spring runoff
(Winkler et al., 2016). These may be differentiated from
other glaciers by their collapsed appearance and often shallow or eroded
frontal slope and, if necessary, confirmed using geophysical techniques.
Some glaciers may present individual exceptions to the above guidelines and
would need to be evaluated on a case-by-case basis.
The theory that glaciers with little to no debris cover should be more
sensitive than those mostly covered by debris appears to hold true for the
La Laguna catchment, where Tapado Glacier is located. Robson et al. (2022) computed the elevation change for this catchment for 2012–2020 using
a combination of historical aerial photography, stereo satellite imagery,
airborne lidar, and the Shuttle Radar Topography Mission (SRTM) DEM. The
debris-free section of Tapado (Fig. 1a) shows the greatest elevation change
by far with an average loss of -0.65 m a-1, while the vast majority of
debris-covered glaciers outside of the Tapado Glacier complex had either no
detectable change or a surface lowering of < 0.03 m a-1.
Several of these debris-covered glaciers showed modest surface lowering
rates as high as > 0.1 m a-1. This agrees with a global
study by Rounce et al. (2016), who conclude from their globally distributed
debris thicknesses and sub-debris melt outputs that the net effect of
accounting for debris in all regions is a reduction in sub-debris glacier
melt, by 37 % on average. Furthermore, Ayala et al. (2016) and Ferguson
and Vieli (2020) expect debris-covered glaciers to react more slowly to a
changing climate.
However, this does not hold true everywhere in the semiarid Andes nor in the
world. For example, Ayala et al. (2016) report similar mass losses for
Pirámide Glacier (classified as intermediate) and two nearby debris-free
glaciers, mainly because Pirámide is at a lower elevation. Similar mass
loss rates for debris-covered and debris-free glaciers or parts of these in
High Mountain Asia have also been observed (Gardelle et al., 2013;
Kääb et al., 2012). The presence of supraglacial lakes, ice cliffs, and
reduced velocities at the tongue are thought to be responsible for a
considerable increase in overall glacier mass loss (Pellicciotti et al.,
2015; Ayala et al., 2016; Ferguson and Vieli, 2020; Rounce et al., 2021).
These factors and/or thin debris cover are proposed to explain the similar
mass loss rates. Given that debris-covered glaciers in this region and
elsewhere can have similar mass balance rates to debris-free glaciers, we
suggest a conservative approach when assigning a level of sensitivity for
protection to intermediate glaciers by initially assuming they will have the
same mass balance rate as sensitive glaciers, with the option to downgrade
this if there are data available to justify the change.
In general when assigning a category for protection, we assume that a
glacier made up of multiple glacier types (Fig. 1a) is hydrologically
connected, and therefore a disturbance of one part will impact the entire
system and the water quantity and quality downstream. We therefore suggest
the same level of protection be applied to the entire glacier. In most cases
where multiple glacier types are present, the level of protection and
monitoring associated with the most sensitive category should be applied
(e.g. Figs. 1a and 2a, Table 1). However, where this part of the glacier is
very minor (⪅ 20 % of the surface area), it may be
more appropriate to use the second most sensitive glacier classification
instead (Fig. 2b, c). The initial category for protection would be sensitive
for glaciers that include either sensitive (Category 1) or intermediate (Category 2) glaciers and insulated for Category 3 glaciers (Table 1). When more
information becomes available, the sensitivity level can be downgraded if
justified. High-resolution datasets of glacier elevation change (e.g. Braun et al., 2019; Hugonnet et al., 2021;
Robson et al., 2022) or modelled mass balance informed and/or validated with
in situ data (e.g. Ayala et
al., 2016) could be used to roughly determine the category for protection of
an intermediate glacier. The specific mass balance (mass balance per unit
area) could be compared to that of sensitive and/or insulated glaciers
nearby. If closest to a value between sensitive and insulated glaciers, the
category for protection would be changed to intermediate. If closest to that
of nearby insulated glaciers, it would be changed to insulated. Examples are
provided in Table 2.
Examples from the semiarid Andes of Chile and Argentina
are provided to clarify the proposed glacier types. All examples provided
except for (d) contain multiple glacier types. (a) Las Tetas Glacier is made
up of an intermediate glacier in its upper portion and an insulated glacier
at lower elevations. (b) This glacier is dominated by the insulated glacier
type, while (c) and (e) are dominated by the intermediate glacier type and
have a “rough glacier surface”. (f) This glacier is a sensitive and
intermediate glacier. (d) This glacier is a typical insulated glacier.
Examples are provided of fresh ice collapse features (ICF) and
weathered thermokarst depressions. The black outlines are glacier
delineations from the national inventories. Image source (Esri basemap): (a) 11 March 2019 GeoEye (0.46 m), (b) 9 April 2018 GeoEye (0.46 m), (c) 1 April
2020 WorldView-2 (0.5 m), (d) 9 January 2018 WorldView-2 (0.5 m), (e) 6 May
2020 WorldView-2 (0.5 m), (f) 1 April 2020 WorldView-2 (0.5 m).
The category assigned for this article, in the national inventories of Chile (DGA) and Argentina (IANIGLA), and in the published literature if available are listed for glaciers illustrated in the figures as well as for named glaciers in the published literature. There are two categories for this article: (1) all glacier types present and (2) the glacier type that we recommend for assigning a level of protection. The coordinates are provided for each glacier along with the associated figure number or glacier name. A file with the location of each glacier in this table is included in the Supplement (Glacier examples.kmz). The classifications for this study are based on the images displayed in the figures or using the images in the associated publication for glaciers not included in Figs. 1 and 2. For classifications by Janke et al. (2015) there are three sub-classes within the class of debris-covered glaciers: semicovered, fully covered, and buried glaciers.
Figure ID/nameLatitudeLongitudeAll categories present (this article)Initial category for protectionCategory DGACategory IANIGLAPublished literature(1a) Tapado30∘9′15.42′′ S69∘55′24.88′′ WSensitive, intermediate, and insulated glacierSensitive glacierMountain glacier–Debris-free, debris-covered, and rock glacier (Monnier et al., 2014; Pourrier et al., 2014)(1b) Pirámide33∘33′33.2′′ S69∘53′35.1′′ WIntermediate glacierSensitive glacierValley glacier–Debris-covered glacier (Ayala et al., 2016; Ferrando, 2012), fully covered (Janke et al., 2015)(1c) Dos Lenguas30∘14′42.26′′ S69∘46′57.42′′ WInsulated glacierInsulated glacier–Rock glacier (active)Rock glacier (Halla et al., 2020; Schrott, 1996)(2a) Las Tetas30∘10′9.00′′ S69∘55′41.55′′ WIntermediate and insulated glacierSensitive glacierMountain and rock glaciera–Debris-covered and rock glacier (Monnier and Kinnard, 2017)(2b)33∘39′25.69′′ S69∘37′7.59′′ WSensitive, intermediate, and insulated glacierSensitive glacier–Debris-covered and rock glacier–(2c)33∘34′51.47′′ S70∘4′9.47′′ WSensitive, intermediate, and insulated glacierSensitive glacierRock glacier––(2d)30∘29′26.06′′ S70∘10′29.90′′ WInsulated glacierInsulated glacier–Rock glacier (active)–(2e)34∘13′7.04′′ S70∘6′0.80′′ WIntermediate and insulated glacierSensitive glaciersRock glaciers––(2f) – west33∘9′53.46′′ S70∘2′14.97′′ WSensitive glacierSensitive glacier–Debris-free glacier–(2f) – east33∘10′17.47′′ S70∘1′14.33′′ WIntermediate glacierSensitive glacierDebris-covered glacier–Juncal Norte32∘59′42.8′′ S70∘6′13.4′′ WSensitive glacierSensitive glacierValley glacier–Semicovered (Janke et al., 2015)Llano de Las Liebres30∘14′44.49′′ S69∘57′2.37′′ WInsulated glacierInsulated glacierRock glacier–Rock glacier (Janke et al., 2015)Navarro32∘53′4.1′′ S70∘2′31.1′′ WIntermediate and insulated glacierSensitive glacierMountain glacier and rock glacierb–Semicovered, fully covered, buried glacier, and rock glacier (Janke et al., 2015; Monnier and Kinnard, 2017)Presenteseracae32∘53′13.48′′ S70∘1′44.87′′ WIntermediate glaciercSensitive glacierRock glacier–Debris-covered and rock glacier (Monnier and Kinnard, 2017)Tres Gomelos32∘54′28.0′′ S70∘1′36.3” WInsulated glacierdInsulated glacierRock glacier–Rock glacier (Janke et al., 2015)Universidad34∘41′46.0′′ S70∘19′55.5′′ WSensitive glacierSensitive glacierValley glacier–Semicoverede (Janke et al., 2015)El Paso30∘13′58.43′′ S69∘48′52.9′′ WInsulated glacierInsulated glacier–Rock glacier (active)Rock glacier (active; Croce and Milana, 2002)
a The middle portion of this glacier containing many obvious fresh ice collapse features not included in the DGA inventory. b Classifications are based on the glacier extent provided in Janke et al. (2015). c While rock glacier morphology is present on the lower reaches of this glacier, the debris cover is not thick enough to insulate the glacier (> 60 cm thick at lower elevations; Monnier and Kinnard, 2017). d This classification is based on the 2008 GeoEye IKONOS imagery within Janke et al. (2015). However, more recent imagery (9 May 2020 WorldView and 10 February 2016 Google Earth) shows several fresh ice collapse features that appear to have formed after 2008. e Classification is based on our interpretation that is not explicitly stated in the publication.
Examples of intermediate glaciers with their initial category for protection (sensitive) and revised category for protection based on comparison with nearby glaciers using high-resolution datasets of glacier elevation change or modelled mass balance. A glacier ID is provided for each example along with a reference ID for glaciers it is compared to, both of which are points in the Supplement file (category examples.kmz).
Glacier IDLatitudeLongitudeAll categories present (this article)Initial category for protection (this article)Revised category for protection (this article)Data sourceID of reference glaciers1.130∘10′4.62′′ S69∘55′44.21′′ WIntermediate and insulated glacierSensitive glacierIntermediate glacierRobson et al. (2022)1.2, 1.32.133∘33′33.2′′ S69∘53′35.1′′ WIntermediate glacierSensitive glacierSensitive glacierAyala et al. (2016), Braun et al. (2019)2.2, 2.33.132∘38′10.45′′ S70∘6′19.58′′ WIntermediate glacierSensitive glacierSensitive glacierBraun et al. (2019)3.24.134∘12′57.12′′ S70∘6′10.19′′ WIntermediate glacierSensitive glacierIntermediate glacierBraun et al. (2019)4.2, 4.3
Model outputs for sensitive and some intermediate glaciers in the Southern
Andes (south of ∼ 25∘ S) show the vast majority of
these glaciers have already reached or are expected to reach their maximum
runoff or “peak water” before 2050 with a decrease in runoff thereafter
(Burger et al., 2019; Huss and Hock,
2018). Insulated glaciers (rock glaciers) are more resilient to changes in
temperature and therefore provide long-term water reservoirs
(Bonnaventure
and Lamoureux, 2013; Jones et al., 2018). However, this resilience can be
diminished with human intervention such as the construction of roads or
deposition of waste material on these glaciers, potentially leading to slope
instability and permafrost degradation (Brenning and
Azócar, 2010). As well as contributing water, these glaciers likely play
a role in storing and delaying runoff by several months
(Winkler et al., 2016). Sensitivity may reflect runoff, with
more sensitive glaciers contributing more to streamflow compared to
insulated glaciers, but there is not enough information to form conclusions
for the semiarid Andes at this time (Schaffer et
al., 2019).
Whilst debris cover impacts thermal properties, it may also mitigate the
impact of precipitation changes.
Ayala et al. (2016) found that the
mass balance sensitivity of the debris-covered glacier Pirámide was
considerably lower than two adjacent debris-free glaciers. Thus,
debris-covered glaciers may be less sensitive to both temperature and
precipitation in this region. We suggest further investigation on this topic
given that debris-free glaciers in northern Chile are known to be very
sensitive to changes in precipitation (e.g. Kinnard et
al., 2020), predominantly due to associated changes in surface albedo
(e.g. MacDonell et al., 2013). Whilst not explicitly
stated in the above definitions, the proposed classifications should
therefore account for precipitation sensitivity.
In the semiarid Andes of Chile the upward expansion of rock glacier
morphology areas at the expense of debris-covered glaciers has been
documented for two hybrid glaciers in the Colorado Valley (30∘ S)
and Navarro Valley (33∘ S) that have debris-covered glacier
morphology in their upper parts and rock glacier morphology in their lower
parts (Monnier and Kinnard, 2017; Robson et al., 2022).
In the Navarro valley a small debris-covered glacier has evolved into a rock
glacier over the last half-century, and such transformations may result in
glaciers being more resilient to changes in climate (Monnier and Kinnard,
2017). Other factors such as precipitation patterns may also change over
time, which can have an important influence on glacier mass balance (Burger
et al., 2019) and water availability in general. These potential changes
highlight the need for a glacier protection plan that is flexible and
evolves through time.
Examples from the semiarid Andes
Examples from the semiarid Andes of Chile and Argentina clearly illustrating
the three glacier types as well as fresh ice collapse features and
weathered depressions are shown in Figs. 1 and 2. Additional examples are
included in Fig. 2 to help clarify. Details are provided in the figure
captions, and Table 1 summarizes the classification of each glacier in Figs. 1 and 2 according to the glacier categories proposed in this study, the
categories defined by the Chilean and Argentinian national inventories, and
those within the published literature where references are available. Glaciers
named and classified in the published literature have also been added to
Table 1. The sensitive glaciers listed in Table 1 (the debris-free section
of Tapado Glacier, Juncal Norte, Universidad glacier, and the sensitive
glacier in Fig. 2f), the intermediate Pirámide Glacier, and glaciers in
Figs. 2e and f are included in the RGI. For all other hybrid glaciers only a
small area at the highest elevation is included if ice is exposed, and
insulated glaciers are excluded.
The most recent Chilean national inventory completed by the Dirección
General de Aguas (DGA) defines rock glaciers as having no or almost no ice
visible at the surface, generally convex topography, and a discernible
frontal slope among other characteristics (DGA, personal communication,
12 April 2021). It specifies that thermokarst features may be present but
does not indicate if these can be numerous or are rare. All other glacier
types are categorized based on the Global Land Ice Measurements from Space
(GLIMS) classification system (http://www.glims.org/MapsAndDocs/guides.html, last access: 5 April 2022; DGA, personal communication,
12 April 2021), which has two categories of interest for this discussion: (1) valley glaciers and (2) mountain glaciers, both of which include debris-free
and debris-covered glaciers. Valley glaciers are generally confined to a
valley, whereas mountain glaciers are found on mountain slopes and include
glaciers that do not fit into another category. There is no differentiation
with respect to the amount of debris cover. The most recent inventory is
completed but not yet publicly available, so we have reviewed the preceding
inventory, which was used as a base for the revised inventory. Most glaciers
classified as rock glaciers are insulated glaciers as defined in this study
(similar to Figs. 1c, 2d). There are some glaciers with numerous fresh
ice collapse features that have been categorized as rock glaciers (Fig. 2c,
e). We suggest that when using the national inventory to evaluate water
resources, the categories proposed here additionally be applied to the
area of interest so that glaciers categorized as “rock glaciers” with
numerous thermokarst depressions, especially fresh ice collapse
features, can be differentiated from insulated glaciers since considerable
mass loss may occur in the vicinity of these features
(Ferguson and Vieli,
2020; Miles et al., 2016; Robson et al., 2022). Applying the proposed
categories would also enable differentiation between sensitive and
intermediate glaciers which could help facilitate the evaluation process.
Although rock glaciers are not explicitly defined in terms of the debris
cover thickness in the Argentinian inventory completed by the Instituto
Argentino de Nivología, Glaciología y Ciencias Ambientales
(IANIGLA), the associated glacier inventory (https://www.argentina.gob.ar/ambiente/agua/glaciares/inventario-nacional, last access: 5 April 2022)
mostly agrees with the proposed categories. All glaciers classified as rock
glaciers show no ice exposure and generally have convex topography and a
discernible frontal slope (e.g. Fig. 1c). There are many glaciers that have
an upper portion that has fresh ice collapse features and/or is
debris-free and a lower portion characteristic of insulated glaciers (e.g. Fig. 2b, similar to Fig. 2a). These glaciers are characterized as
debris-covered glaciers and rock glaciers, which matches the classification we
would propose here (intermediate and insulated glaciers). While far less common,
there are some glaciers classified as rock glaciers that definitively have
the characteristics of insulated glaciers except for having very large or
numerous ice collapse features. We would like to suggest that these be
labelled as intermediate and insulated glaciers (corresponds to debris-covered
glaciers/rock glaciers in this inventory) for the purpose of water resource
evaluation. The category of debris-covered glaciers in the Argentinian
inventory is generally synonymous with intermediate glaciers as defined in
this study evidenced by a near-perfect match during a thorough review of the
Argentinian inventory (Supplement – Inventory area reviewed.kmz).
Discussion and concluding statements
We propose that glacier categories, used for the purpose of water resource
evaluation and/or management, should reflect differences in their
sensitivity to environmental changes (e.g. temperature and precipitation).
We suggest three categories: (1) glaciers that are sensitive to environmental
changes, (2) intermediate glaciers, and (3) glaciers that are thermally
insulated from the environment.
Whilst there is inherent subjectivity in this proposal, we recommend that
these categories are more appropriate for the purpose of water resource
evaluation and/or management than the available definitions based on glacier
type in the scientific literature (Sect. 2) since these definitions can be
more ambiguous than those proposed here and do not necessarily reflect the
glacier's sensitivity. For example, a glacier that is almost fully covered
with a thin layer of debris could be classified as a debris-covered glacier
or as a rock glacier (e.g. Fig. 2e). Considering that such a glacier is more
sensitive to changes in climate than an insulated one (e.g. Fig. 2d; Table 2, glacier 4.1) and the eastern portion is similar to Pirámide, whose
mass loss rate is comparable to a debris-free glacier (e.g. Ayala et al.,
2016), classifying it as a rock glacier could result in a false assumption
that it is not very sensitive to environmental changes, leading to an
inappropriate level of protection.
The manual classification proposed in this study relies on individual
interpretation of the geomorphology and is therefore somewhat subjective and
limited. This simplified approach does not consider site-specific
characteristics such as topography, lithology, or light-absorbing aerosols such
as black carbon or directly incorporate climate variables. We therefore
propose that this be used as an initial classification which is later
refined or used in combination with a more sophisticated and quantitative
approach such as modelling the debris cover thickness and automating the
classification by geomorphology using automatic detection methods. A global
debris-cover thickness model only requiring input data that can be obtained
remotely (geodetic mass balance and velocity fields) has been developed, and
these outputs could be used to help differentiate between sensitive and
intermediate glaciers (Rounce
et al., 2021). However, outputs are limited to glaciers included in the RGI
inventory, and it would be necessary to compare these outputs to measured
debris thicknesses on glaciers in the semiarid Andes to evaluate their
accuracy since the model was calibrated on a debris-covered glacier in
Nepal. At present, methods for modelling thick debris cover (e.g. > 2 m) have not been validated, so their effectiveness at
differentiating between intermediate and insulated glaciers is unknown. The
influence of debris cover on sensitivity could potentially be assessed in a
more direct way since a relationship between satellite-derived surface
temperatures and mass balance has been observed for debris-covered glaciers
with debris thicknesses of up to 0.4 m (Moore et
al., 2019). Evaluation of the geomorphology and glacier delineation could
potentially be completed in an objective way, applying methods used to
automatically detect debris-covered glaciers and rock glaciers
(Lu et al.,
2021; Robson et al., 2020). These approaches would allow for classification
at a regional scale and could be used to identify individual glaciers where
a more comprehensive analysis that accounts for precipitation and input from
avalanches could be conducted. Temperature, precipitation, debris thickness,
snow distribution, and avalanche input could be modelled using a
physically oriented numerical model such as the TOPKAPI-ETH model, which has
already been applied successfully in the semiarid Andes region (Ayala et
al., 2016). This type of model could also help identify tipping points (e.g. peak water), which could provide very helpful information for policy
decisions. This detailed modelling approach would require a large number of
input data (e.g. meteorological measurements from on- and off-glacier,
glaciological measurements of mass balance, terrestrial photos, high-resolution DEM, glacier outlines), which could only be obtained for select
glaciers.
The classification proposed is specific to the semiarid Andes and is meant
to function as an example upon which classification schemes for other
regions could be based. The appropriate dividing line (debris thickness)
between categories will vary from north to south along the Andes. For
example, the study area between 29–34∘ S is characterized by cold
and dry conditions which result in a glacier equilibrium-line altitude (ELA)
that is generally several hundred metres above the 0 ∘C isotherm
(Masiokas et al., 2020) and short-wave
radiation and sublimation are the primary melt processes
(MacDonell et al., 2013; Réveillet et al.,
2020). Further south in Patagonia (35–55∘ S), most
glaciers have their ELA below the 0 ∘C isotherm, so rain may become an
important factor influencing mass balance as seen in other regions
(Wang et al., 2019), and the amount of incoming solar radiation
is lower given the higher latitude. The former factor would likely increase
the debris cover thickness required to impede persistent surface melt, while
the latter would likely decrease the required thickness
(Mattson et al., 1993). The distribution of dust and
black carbon varies along the length of Chile (Rowe et
al., 2019), and these particles have been modelled to reach glaciers at very
high elevations such as Tapado Glacier (> 4500 m a.s.l.),
but the impact of dust and black carbon on glacier mass balance within the
study area is largely unknown (Rowe et al., 2019;
Barraza et al., 2021). As glaciers within the study area are more sensitive
to precipitation and albedo (short-wave radiation) compared to glaciers
further south (e.g. Kinnard et al., 2020; MacDonell et al., 2013; Masiokas et al., 2020), they
are likely more sensitive to impurities, and a thicker debris
cover may be required here. As debris cover thickens the influence of local
factors such as climate on glacier mass balance diminishes (Mattson et al.,
1993), so the dividing line between sensitive and intermediate glaciers will
likely vary more spatially than the dividing line between intermediate and
insulated glaciers.
These categories are aligned with Janke et al. (2015), who propose six
categories for debris-covered and rock glaciers. The categories in this
paper additionally include debris-free glaciers, and the number of categories
has been reduced to three. Sensitive glaciers have experienced the highest
mass loss rates in the La Laguna catchment (Robson et al., 2022), and this
may be true elsewhere in the semiarid Andes. Insulated glaciers are expected
to be less sensitive and provide longer-term reservoirs (Jones et al., 2018)
and are expected to become increasingly important in a warming climate as
the contribution from more sensitive glaciers diminishes
(Ferguson and
Vieli, 2020; Jones et al., 2018). It is likely that they also play a role
in storing and delaying runoff (Winkler et al., 2016). Their value as water
resources is region-specific, with a more significant role in areas that are
water-scarce and where rock glaciers are the dominant glacier type such as the
semiarid Andes
(Azócar
and Brenning, 2010; Jones et al., 2018; Schaffer et al., 2019). Here, an
elevated level of protection may be needed; focusing protection on
individual glaciers may not be sufficient and will likely need to be
expanded over larger regions to capture the sum of water reserves contained
within rock glaciers and other ice-rich landforms to meet the needs of
society. The Chilean and Argentinean GPLs do not identify the distinct role
glacier types provide in terms of water resources as described above. The
GPLs also do not consider water availability and how this varies with
latitude and with time. If these factors were incorporated into legislation, it
would be possible to match the level of protection to the need, resulting in
protection that would be region-specific, would meet the needs of society without
over- or under-protecting it, and could evolve through time as the climate and
water availability changes. Water availability could be coarsely identified
with the water-scarcity levels identified for all regions in Chile within
the national Atlas Del Agua and national water plan (Plan Nacional del Agua)
for Argentina.
The specific decisions with regards to the level of protection for each
region and assigned to each glacier category proposed here are public policy
decisions that require balancing many factors such as water resources and
the economy and are beyond the scope of this paper. To support informed
decision making with respect to the protection of glaciers, we suggest that
information on the sensitivity and hydrological value of different glacier
types be explicitly provided in an easily accessible way, particularly for
regions that are expected to be water-scarce in the coming decades as
longer-term water reservoirs may be of critical importance. In general, we
suggest that the level of protection matches the needs of society as a
minimum and is ideally stringent enough to also sustain biodiversity, sustainable
tourism, traditional practices from indigenous communities, and scientific
investigation in key areas. A conservative approach should be taken given
that the semiarid Andes region is already water-scarce (29–34∘ S)
and there are currently insufficient data to evaluate the current or future
hydrological contribution to streamflow from rock glaciers and ice-rich
ground (Schaffer et al., 2019).
The number of categories has been reduced to the minimum needed to
distinguish glaciers by their sensitivity to changes in the environment
(three categories) to facilitate relatively easy and efficient
identification of the glacier types while retaining sufficient detail to
designate an appropriate level of protection and appropriate monitoring protocol
associated with the GPL and EIA processes. Both the Chilean and the Argentinian
inventories mostly agree with the division between intermediate and
insulated glaciers. The only exception is for glaciers categorized as rock
glaciers that also have thermokarst depressions, particularly fresh ice
collapse features. We would like to suggest that for the purpose of water
resource evaluation, these be categorized as intermediate and insulated glaciers
in general and considered intermediate glaciers for evaluating the level of
protection since considerable mass loss may occur in the vicinity of these
features (Ferguson and
Vieli, 2020; Miles et al., 2016; Robson et al., 2022). The Argentinian
national inventory effectively differentiates between sensitive and
intermediate glaciers for the focus area (∼ 27–35∘ S), while the Chilean inventory does not. We would suggest
adding this distinction when classifying glaciers for the purpose of water
resource evaluation in Chile. We hope that these suggestions and the
classification scheme proposed will be useful for public policy, as a
complement to the generalized guidelines for glacier protection outlined in
the GPLs for Argentina and Chile and possibly to improve the current Chilean EIA,
which treats all glacier types as one category, and for monitoring. We
envision the methodology outlined in this paper as an initial classification
that could be efficiently completed at a national scale and added as a layer
to the existing national inventories, potentially by glaciology
professionals who created the national inventories (DGA in Chile, IANIGLA in
Argentina), using data already available (e.g. high-resolution satellite
imagery). A more sophisticated and quantitative approach could be applied as
the data and advancements in methodology required become available. However,
this approach would require much more time, expert professionals, and in situ
data, so it may be challenging given that there are no trained glacier
professionals in the EIA system or local government departments in Chile. In
addition to the hydrological value of glaciers, we also recommend other values such as
ecosystem services provided by glaciers, their scientific importance, their
potential for sustainable tourism, their importance for cultural and natural
heritage, their presence in a protected area (not limited to national parks), and
the rights of indigenous communities be considered within the evaluation
process, with the level of protection elevated for glaciers providing these
additional benefits to society.
Data availability
National inventories are available at the web address indicated in the text. The locations of public data repositories containing high-resolution datasets of glacier elevation change or modelled mass balance used in this paper are identified in Table 2 and included in the reference section.
The supplement related to this article is available online at: https://doi.org/10.5194/tc-16-1779-2022-supplement.
Author contributions
NS prepared the manuscript in collaboration with SM, who contributed content and helped write the manuscript.
Competing interests
Whilst
the authors declare they have no conflict of interest, we acknowledge that
Shelley MacDonell has participated in working groups and panels with respect
to the creation of glacier protection legislation in Chile, has conducted
training courses for members of the environmental impact assessment system
and has acted as a reviewer for the Chilean National Glacier Inventory that is
currently being finalized.
Disclaimer
Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Acknowledgements
In addition to the financial support, we would like to acknowledge researchers, professionals, and others in the Chilean and Argentinian
communities, including the Dirección General de Aguas, for discussions
related to glacier protection, the environmental impact assessment process,
and glacier behaviour in general that both inspired and informed this work.
Additionally, fruitful conversations with members of the International
Permafrost Association action group on “Rock glacier inventories and
kinematics” with respect to rock glacier inventorying are gratefully
acknowledged.
Financial support
This research has been supported by the Fondo Nacional de Desarrollo Científico y Tecnológico (grant no. CONICYT + FONDECYT + Postdoctorado (3180417)), the Fondo de Innovación para la Competitividad (grant no. FIC-R (2016) Coquimbo (BIP 40000343)), and the Comisión Nacional de Investigación Científica y Tecnológica (grant no. ANID + Concurso de Fortalecimiento al Desarrollo Científico de Centros Regionales 2020-R20F0008-CEAZA).
Review statement
This paper was edited by Harry Zekollari and reviewed by Camilo Rada Giacaman, Claudio Bravo, and one anonymous referee.
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